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Vice President, Big Data Scala Engineer

India, Pune · Job Posted February 10, 2026
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Job Description

We are seeking an experienced and highly skilled Vice President, Big Data Scala Engineer to lead the design, development, and implementation of our next-generation big data platforms and applications. The ideal candidate will be a technical leader with a strong background in Scala, Spark, and other big data technologies, capable of driving innovation, mentoring engineers, and collaborating with cross-functional teams to deliver robust and scalable solutions. This role requires a strategic thinker who can translate business requirements into technical architectures and lead their execution.

Job Responsibility

  • Lead the architecture, design, and development of high-performance, scalable, and reliable big data processing systems using Scala and Apache Spark
  • Drive technical vision and strategy for big data initiatives
  • Evaluate and recommend new technologies and tools
  • Design, develop, and optimize data pipelines for ingestion, transformation, and storage of massive datasets
  • Implement robust and efficient data processing jobs using Scala and Spark (batch and streaming)
  • Ensure data quality, integrity, and security
  • Promote and enforce best practices in coding, testing, and deployment
  • Mentor and guide a team of talented big data engineers
  • Conduct code reviews, provide constructive feedback
  • Participate in the recruitment and hiring
  • Partner with product managers, data scientists, and other engineering teams to understand business requirements
  • Communicate complex technical concepts effectively
  • Work closely with DevOps and SRE teams
  • Contribute to the strategic roadmap for big data engineering

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 12+ years of progressive experience in software development, with at least 5+ years focusing on big data technologies
  • 3+ years of experience in a leadership or senior architectural role
  • Extensive hands-on experience with Scala for big data processing
  • Demonstrated expertise with Apache Spark (Spark Core, Spark SQL, Spark Streaming)
  • Strong experience with distributed systems and big data ecosystems (e.g., Hadoop, Kafka, Cassandra, HBase, Delta Lake, Snowflake, Databricks)
  • Proficiency with cloud platforms (AWS, Azure, GCP) and their big data services (e.g., EMR, Redshift, Glue, DataProc, BigQuery)
  • Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines
  • Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling
  • Familiarity with functional programming paradigms in Scala
  • Exceptional problem-solving and analytical skills
  • Strong leadership, communication, and interpersonal skills
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment
  • Proactive and results-oriented with a strong sense of ownership

Nice to have

  • Experience with real-time data processing and stream analytics
  • Knowledge of machine learning frameworks and their application in big data
  • Contributions to open-source big data projects
  • Experience in the financial services industry

What we offer

  • Opportunity to work on cutting-edge big data technologies and impactful projects
  • A collaborative and innovative work environment
  • Competitive compensation and benefits package
  • Opportunities for professional growth and career advancement
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